As a new transdermal drug delivery system, microneedles can significantly improve skin permeability, enhance drug transdermal delivery, and demonstrate unique advantages in breaking stratum corneum barrier of skin. This feature enables microneedles to demonstrate enormous potential in delivering biotechnology drugs. The traditional delivery method for biotechnology drugs is mainly injection, which brings problems such as pain and skin redness to patients, leading to poor patient compliance. In addition, the production, transportation, and storage of biotechnology drugs require strict low-temperature conditions to maintain their activity and increase cost output. Microneedles, by contrast, have many benefits, providing new avenues and solutions for biomolecular delivery. Accordingly, this review introduced the microneedle drug delivery system for delivery biotechnology drugs, and summarized the research progress of microneedle systems in biotechnology drugs.

The MADS-box gene family is a very important transcriptional regulator gene, which plays a role in the whole growth and development process of plants. The APETALA1 (AP1) gene is considered to play an important regulatory role in the transformation of plant flowering, but also to control the characteristic development of floral organs. Lonicera macranthoides is used as medicine with dry buds and early flowers. Therefore, studying the potential mechanism of AP1 gene in regulating flower organ development can provide a basis for improving its medicinal value by molecular means. To explore the potential mechanism of the AP1 gene in the regulation of floral organ development in L. macranthoides, the full-length cDNA of the AP1 was cloned by reverse transcription PCR (RT-PCR) and named LmMADS4. The results show that the CDS of the LmMADS4 gene is 729 bp and encodes 242 amino acids, and the LmMADS4 protein contains no signal peptide and no transmembrane structure, which is an unstable hydrophilic protein. Through homologous sequence alignment and phylogenetic analysis, LmMADS4 and L. japonica MADS27 protein cluster into one class and are closely related. Finally, the expression pattern and protein interaction pattern of LmMADS4 were analyzed by real-time reverse transcription-PCR (qRT-PCR) and yeast two-hybrid technology. The qRT-PCR showed that LmMADS4 gene was differentially expressed in the stems, leaves and flower bud at different developmental stages, including bud type variety Longhua and common variety Baiyun; and LmMADS4 gene was highly expressed in the flower buds, and with the development of flower buds, LmMADS4 gene was continuously up-regulated in the flower bud variety Longhua, however, the expression level of LmMADS4 in the Baiyun terminal flower bud was lower than that in the late flower bud, but the difference was not significant. The yeast two-hybrid results showed that the bait vector pGBKT7-LmMADS4 was not toxic to yeast strains and had no self-activating activity. LmMADS4 protein interacted with LmSVP1, LmSVP3 and LmSOC1s proteins. This study can provide a theoretical basis for exploring the mechanism of long flower bud stage and corolla non-unfolding at the molecular level and variety improvement of L. macranthoides.

Twelve abietane diterpenes were isolated from the 95% ethanol fraction solvated from the aqueous extract of Styrax by using various chromatographic methods, including MCI Gel CHP 20P, Sephadex LH-20, ODS, silica gel, TLC and semi-preparative HPLC. The structures of the isolated compounds were identified by spectroscopy methods (1D, 2D NMR, UV, MS, etc.), and the absolute configuration of the new compound was determined by ECD calculations. Compound 1 is a new compound, which was identified as (4R, 5R, 9S, 10R, 12S)-12-methoxy-neoabietic acid, and compounds 2-12 were isolated from Styrax for the first time.

The voltage-gated sodium channel subtype Nav1.7 is highly expressed in nociceptive sensory neurons and is a key pathogenic target in several human hereditary pain syndromes. In recent years, a large number of studies have shown that Nav1.7 plays an important role in inflammatory, neuropathic, and nociceptive pain. Therefore, targeting Nav1.7 is a new strategy and hotspot for the development of novel analgesics. This review introduces the structure and function of Nav1.7, its regulatory role in pain, highlights the development progress of small-molecule Nav1.7 inhibitors in clinical trials, and analyzes the preclinical development of highly specific Nav1.7 inhibitors, with a view to providing reference for the development of Nav1.7 analgesic drugs.

Human mass balance study is a pivotal research in the field of clinical pharmacology, aiming at elucidating the metabolic and excretion pathways of drugs in humans. Currently, human mass balance studies predominantly employ radiolabeling techniques. Recently, both the U.S. Food and Drug Administration (FDA) and the Center for Drug Evaluation (CDE) of the China National Medical Products Administration (NMPA) issued related research drafts and guidelines to encourage and guide the pharmaceutical industry to conduct research in compliance with established standards. The selection of radiolabeling sites is crucial for obtaining critical information on drug metabolism. However, in vivo biotransformation may lead to partial disintegration of the molecular structure, thereby resulting in the loss of metabolic product information of the unlabeled moiety. Administering drugs with different radiolabeling sites separately or in combination, or labeling multiple radioactive isotopes within one molecule, can effectively solve this problem. This article reviews relevant technological progress, analyzes radiolabeling strategies, and discusses the application of drugs with multiple radiolabeling sites in human mass balance studies.

The high selectivity and affinity of antibody binding make antibodies widely used in therapeutics, diagnostics, and basic sciences. However, the toxicity of some antibodies has limited their utility. In the past decade, by increasing tissue specificity, conditionally active antibodies have further improved the safety and efficacy of antibodies, widened or even created a therapeutic window. Conditionally active antibodies are antibodies activatable under particular stimuli but have little or no antigen-binding activity in circulation and normal tissues. Conditionally active antibodies are designed to respond to endogenous or exogenous stimuli, such as light, temperature, enzymatic activity, pH, adenosine triphosphate (ATP), ions, effector molecules, and antigen combinations. Currently, two pH-activated antibodies have been approved for clinical use, and multiple conditionally active antibodies have entered clinical trials. This article describes the current status of the field of conditionally active antibodies, focusing on the three major types of conditionally active antibodies activated by pH, ATP and protease, including their design principles, implementation methods, relevant examples and the latest research progress. In addition, this review summarizes tumor-associated proteases and discusses the role of several key proteases in the development and progression of cancer, which can provide reference for the research and development of conditionally active antibodies. Many opportunities remain untapped in this field, waiting for more efficient and generally applicable activation strategies to be developed at the interface between chemistry and biotechnology.

Physiologically based pharmacokinetic (PBPK) models have been widely used to predict various stages of drug absorption, distribution, metabolism and excretion. Models based on machine learning (ML) and artificial intelligence (AI) can provide better ideas for the construction of PBPK models, which can accelerate the prediction speed and improve the prediction quality of PBPK. ML and AL can complement the advantages of PBPK model to accelerate the progress of drug research and development. This review introduces the application of machine learning and artificial intelligence in pharmacokinetics, summarizes the research progress of physiological pharmacokinetic models based on machine learning and artificial intelligence, and analyzes the limitations of machine learning and artificial intelligence applications and their application prospects and prospects.

Proteolysis-targeting chimera (PROTAC), as an emerging treatment method, has become one of the hottest technologies in the field of new drug research with a near-20-year development. PROTAC utilizes the natural ubiquitin-protease system in cells to induce targeted protein degradation, especially for protein of interest that are difficult to target by traditional small molecules. Moreover, PROTAC is expected to solve the problem of drug resistance that often occurs with small molecule drugs. However, the excessive relative molecular weight, poor solubility and membrane permeability, and low oral absorption of PROTAC make it challenging to druggability study. Currently, take pharmacokinetic characteristics as the entry point to continuously optimize and improve, so as to accelerate the transformation of PROTAC from laboratory to clinical application. Based on the basic structure and mechanism of PROTACs, this review introduces its pharmacokinetic properties, analyzes how to design efficient and stable PROTAC molecules, summarizes its current research progress in various diseases treatments, evaluates the development prospects and limitations of PROTAC, in order to provide more references for further research and application of PROTAC.

Tumor is one of the serious problems threatening human health. There are some limitations in the delivery of commonly used tumor therapy technologies, and the therapeutic effect is not satisfactory, so new anti-tumor strategies need to be developed. The process of tumor cells using glycolysis to produce energy under aerobic conditions is called aerobic glycolysis, which is closely related to tumor growth, proliferation and metastasis, and can provide a new target spot for tumor treatment. Nano drug delivery system has been widely used in targeted tumor therapy because of its advantages of targeted drug delivery, improved anti-tumor efficacy and reduced toxic side effects. Numerous studies have shown that more and more nano drug delivery systems regulates aerobic glycolytic metabolism by targeting to potential targets such as signaling factors or reaction products of aerobic glycolytic process in tumors, and therefore enhance the anti-tumor effect. This paper reviews the application of nano drug delivery system in regulating tumor aerobic glycolysis, and provides theoretical references for realizing efficient targeted tumor therapy.

Artemisia argyi is a traditional Chinese medicine in China, which is used as medicine with its leaves. The leaves of A. argyi mainly contain flavonoids, phenolic acids, volatile oils and other compounds, and have a variety of pharmacological activities. AP2/ERF transcription factors are abundant in plants and are mainly involved in plant growth and development, abiotic stress response and secondary metabolite biosynthesis regulation. However, there are few reports on the AP2/ERF gene family and its functions in A. argyi. In this study, we systematically identified the AP2/ERF gene family in A. argyi genome, and analyzed its phylogenetic tree, protein physicochemical properties, subcellular localization, conserved motifs, promoter elements, and expression patterns. The results showed that a total of 204 AP2/ERF transcription factors were identified in A. argyi genome, encoding proteins consisting of 88-483 amino acids with a relative molecular mass of 10-52.94 kDa and a theoretical isoelectric point of 4.62-9.88. Subcellular prediction showed that the majority of AP2/ERFs were located in the nucleus, cytoplasm, and the minority of them is located in the membrane and chloroplasts. According to the Arabidopsis AP2/ERF family classification, A. argyi AP2/ERF proteins were divided into four subfamilies: Soloist, AP2, ERF (B3, B4, B5, B6), and DREB (A1, A2, A4, A5, A6), among which DREB family accounted for the largest proportion, and the same subfamily had similar conserved motifs. cis-Acting element analysis showed that AP2/ERF promoters have a large number of elements responding to light and abiotic stress. Expression pattern analysis showed that most of the genes of the AP2/ERF family were dominantly expressed mainly in roots and stems, of which 19 were dominantly expressed in leaves, 77 would be induced to be expressed by methyl jasmonate, of which 16 genes were both dominantly expressed in leaves and induced to be expressed by methyl jasmonate, and these AP2/ERF genes may be the key regulatory genes for the synthesis of active ingredients in A. argyi leaves.This study lays the foundation for the functional study of AP2/ERF family genes and their regulating roles in the active components biosynthesis in A. argyi leaves.